Mallesham Dasari


Bio: I am currently a Postdoctoral Researcher at Carnegie Mellon University, advised by Prof. Anthony Rowe and Prof. Srinivasan Seshan. My research spans across Multimedia Systems, Mobile Computing, and Wireless Networking, with a current focus on improving the experience of Augmented, Virtual, and Mixed Reality Applications.

Before CMU, I received a PhD in Computer Science from Stony Brook University, under the guidance of Prof. Samir Das. During my PhD, I also closely worked with Prof. Aruna Balasubramanian. Before that, I received an M.Tech and a B.E from OSMANIA University, Hyderabad, India.

I also actively look for mentoring students from historically marginalized and challenged groups. If you are a student from rural, low socioeconomic background, first-generation, woman, LGBTQ+ community, a person with disabilities, or if you think you are from any other underrepresented population, feel free to reach out to me for any guidance, mentorship, and help. Thanks!

Email is the best way to contact me: malleshd@andrew.cmu.edu


Selected Publications

Swift: Adaptive Video Streaming with Layered Neural Codecs
Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras
NSDI 2022 (Conference on Networked Systems Design and Implementation)
Paper Slides Code Video

PARSEC: Streaming 360-Degree Videos Using Super-Resolution
Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, Aruna Balasubramanian, Samir R. Das
INFOCOM 2020 (Conference on Computer Communications)
Paper Slides Code Video

Impact of Device Performance on Mobile Internet QoE
Mallesham Dasari, Santiago Vargas, Arani Bhattacharya, Aruna Balasubramanian, Samir R. Das, and Michael Ferdman
IMC 2018 (Conference on Internet Measurements)
Paper Slides Data


Active Research Projects

Neural Video Compression and Streaming

Video compression plays a central role for Internet video applications in reducing the network bandwidth requirement. Traditional algorithm-driven compression methods have served well to realize today's Internet video applications with an acceptable user experience. However, emerging 4K/8K/360-Degree video streaming, and AR/VR applications require orders of magnitude more bandwidth than today's applications. The monolithic, application-unware nature of the current generation compression algorithms is not scalable to realize such nearfuture applications over the Internet. This project explores data-driven techniques to significantly change the landscape of the source compression algorithms and improve the experience of next-generation video applications.


Multi-User Tracking for AR/VR Applications

The interactive and immersive applications such as Augmented Reality (AR) and Virtual Reality (VR) have significant potential for various tasks like industrial training, collaborative robotics, remote operation, etc. A key challenge to deliver these applications is to provide accurate and robust tracking of multiple agents (humans and robots) involved in every-day, challenging environments. Current AR/VR solutions rely on visual tracking algorithms (e.g., SLAM/Odometry) that are highly sensitive to environment (e.g., lighting conditions). This project explores augmenting the RF-positioning (e.g., WiFi/UWB) to improve the tracking in terms of accuracy, robustness, and scalability across multiple agents.


Teaching Experience

CSE 570: Wireless and Mobile Networks, Spring 2020

This class is about fundamental principles of wireless and mobile networking. Some of the topics that we will cover are the following:

  • Wireless Signals, Properties, Protocols
  • Wireless Physical Layer
  • Spectrum Sharing
  • RF-based Localization
  • Wireless Link Layer
  • Mobile IP
  • Wireless Transport
  • Mobile and Wireles Applications
  • Mobile Web
  • Mobile Video
  • RF Sensing
  • Mobile Devices, Performance and Energy Management
  • Deep Learning in Mobile and Wireless Applications


Publications

RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion
Mallesham Dasari, Ramanujan Seshadri, Karthikeyan Sundaresan, Samir R. Das
Under Submission (Conference 2023)

Hyper-local Conversational Agents for Serving Spatio-temporal Events of a Neighbourhood
Utku Gunay Acer, Marc Van Den Broeck, Chulhong Min, Mallesham Dasari, Fahim Kawsar
ACM IMWUT/UbiComp 2022 (Conference on Interactive, Mobile, Wearable and Ubiquitous Technologies)

Cyclops: An FSO-based Wireless Link for VR Headsets
Himanshu Gupta, Max Curran, Jon Longtin, Torin Rockwell, Kai Zheng, Mallesham Dasari
ACM SIGCOMM 2022 (Conference on Data Communications)

Swift: Adaptive Video Streaming with Layered Neural Codecs
Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras
USENIX NSDI 2022 (Conference on Networked Systems Design and Implementation)

dcSR: Practical Video Quality Enhancement Using Data-Centric Super Resolution
Duin Baek, Mallesham Dasari, Jihoon Ryoo, Samir R. Das
ACM CoNEXT 2021 (Conference on Emerging Networking Experiments and Technologies)

L3BOU: Low Latency, Low Bandwidth, Optimized Super-Resolution Backhaul for 360-Degree Video Streaming
Ayush Kumar, John Murray, Mallesham Dasari, Michael Zink, Klara Nahrstedt
IEEE ISM 2021 (Conference on Multimedia) Best Paper Award

PARSEC: Streaming 360-Degree Videos Using Super-Resolution
Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, Aruna Balasubramanian, Samir R. Das
IEEE INFOCOM 2020 (Conference on Computer Communications)

Advancing User Quality of Experience in 360-Degree Video Streaming
Sohee Park, Arani Bhattacharya, Zhibo Yang, Mallesham Dasari, Samir R. Das, Dimitris Samaras
IFIP Networking 2019 (Conference on Networking)

Multiple transmitter localization under time-skewed observations
Mohammad Ghaderibaneh, Mallesham Dasari, Himanshu Gupta
IEEE DySPAN 2019 (Conference on Dynamic Spectrum Access Networks)

Spectrum Protection from Micro-Transmissions using Distributed Spectrum Patrolling
Mallesham Dasari, Muhammad Bershgal Atigue, Arani Bhattacharya, Samir R. Das
PAM 2019 (Conference on Passive and Active Network Measurements)

Impact of Device Performance on Mobile Internet QoE
Mallesham Dasari, Santiago Vargas, Arani Bhattacharya, Aruna Balasubramanian, Samir R. Das, and Michael Ferdman
ACM IMC 2018 (Conference on Internet Measurements)

Scalable Ground-Truth Annotation for Video QoE Modeling in Enterprise WiFi
Mallesham Dasari, Christina Vlachou, Shruti Sanadhya, Kyu-Han Kim, Samir R. Das
IEEE/ACM IWQoS 2018 (Conference on Quality of Service)

Poster: Demystifying Hardware Bottlenecks in Mobile Web Quality of Experience
Mallesham Dasari, Conor Kelton, Javad Nejati, Aruna Balasubramanian, Samir R. Das
ACM SIGCOMM 2017 (Conference on Data Communications)


Academic Service

2022

  • ACM SIGCOMM Artifact Evaluation Committee (AEC)
  • ACM IMC, Program Committee
  • ACM MM, Program Committee
  • ACM MMSys, Program Committee

2021

  • ACM Student Workshop at MobiSys, Program Co-Chair
  • ACM IMWUT/UbiComp Reviewer
  • ACM MM, Program Committee

2020

  • IEEE Pervasive Computing, Reviewer
  • ACM SIGCOMM, Artifact Evaluation Committee (AEC)